public Matrix <U> Valid(Matrix <U> u)
{
var strat = new ConvolutionStrategy2D
{
FromInclusive = this.vc,
ToExclusive = Vector.Build <int>().Dense(
u.RowCount - this.vc[0],
u.ColumnCount - this.vc[1]),
TargetSize = Vector.Build <int>().Dense(
u.RowCount - 2 * this.vc[0],
u.ColumnCount - 2 * this.vc[1]),
};
return(this.Convolve(u, strat));
}
public Matrix <U> Same(Matrix <U> u)
{
var strat = new ConvolutionStrategy2D
{
FromInclusive = Vector.Build <int>().Dense(0, 0),
ToExclusive = Vector.Build <int>().Dense(
u.RowCount,
u.ColumnCount),
TargetSize = Vector.Build <int>().Dense(
u.RowCount,
u.ColumnCount),
};
return(this.Convolve(u, strat));
}
internal Matrix <U> Convolve(Matrix <U> u, ConvolutionStrategy2D strat)
{
var w = Matrix.Create(
strat.TargetSize[0],
strat.TargetSize[1],
(r, c) => default(U));
Parallel.For(strat.FromInclusive[0], strat.ToExclusive[0], r =>
{
for (var c = strat.FromInclusive[1]; c < strat.ToExclusive[1]; c++)
{
var s = this.Accumulate(r, c, u);
w[r - strat.FromInclusive[0], c - strat.FromInclusive[1]] = s;
}
});
return(w);
}
